E-Book, Englisch, 119 Seiten
Mualla / Yu / Zhao Advances in Explainable Agentic AI and Large Language Models.
Erscheinungsjahr 2026
ISBN: 978-3-032-20548-3
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Second International Workshop, CALM 2025, Luxembourg City, Luxembourg, December 1-5, 2025, Proceedings
E-Book, Englisch, 119 Seiten
Reihe: Communications in Computer and Information Science
ISBN: 978-3-032-20548-3
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book constitutes the refereed proceedings of the Second International Workshop on Advances in explainability, agents, and large language models, CALM 2025, held in Luxembourg City, Luxembourg, during December 1-5, 2025.
The 8 full papers included in this book were carefully reviewed and selected from 15 submissions.The Workshop on Causality, Agents, and Large Models (CALM) fosters interdisciplinary collaboration at the intersection of causal reasoning, multi-agent systems (MAS), and large language models (LLMs).
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
.- Towards A Human-Centered Approach to Supervision of Explainable Autonomous Robot Tractors.
.- ROXIE: Defining a Robotic eXplanation and Interpretability Engine.
.- Augmenting an LLM-Based Tutor Agent with a Large Action Model for Multimodal Interaction.
.- Does the Model Say What the Data Says? A Simple Heuristic for Model–Data Alignment.
.- Leveraging large language models reinforcement learning for explainable artificial intelligence.
.- Local Causal Reasoning in Multiagent Systems (Extended Abstract).
.- Integrating Decentralised AI Services in a Collaboration Ecosystem.
.- A Hybrid Metaheuristic-Guided Multi-Agent Reinforcement Learning Framework for Cooperative Unsignalized Intersection Coordination.
